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Environmental performance assessment of the use stage of buildings using dynamic high-resolution energy consumption and data on grid composition

机译：使用动态高分辨率能耗和网格组成数据评估建筑物使用阶段的环境绩效

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摘要

During the use stage of buildings, their consumption of electricity has proved to influence considerably their environmental performance. The impacts associated with using electricity are directly related to the electricity grid that delivers the power and hence are also closely associated with the impacts induced by the production of each kWh delivered to the grid. Life cycle assessment (LCA) usually does not account for the variations in the energy sources that supply an electricity grid every day, month and year. This study addresses the dynamic nature of electricity grids and accounts for the source variations in electricity production using electricity grid data at high temporal resolutions. The study compares inventory data on electricity grid composition at hourly, daily and monthly resolutions with the conventional yearly average grid compositions from the ecoinvent database. The high-resolution electricity grid inventory data are subsequently paired with data sets for electricity consumption by buildings with matching resolutions in order to quantify the differences in the environmental performance of buildings resulting from the application of temporally high-resolution grid data. Finally, environmental building performance (EBP) calculated using high-resolution grids is compared to EBPs generated from conventional data resolutions. The results indicate that the contribution to global warming potential is closely related to the data resolution of the grid composition and that the EBP may be overestimated by up to a factor of two when compared with conventional grid inventory data with yearly (i.e. low) data resolutions.
机译：在建筑物的使用阶段，已证明其用电量会极大地影响其环境性能。与用电相关的影响与输送电力的电网直接相关，因此也与由输送到电网的每度电产生的影响密切相关。生命周期评估（LCA）通常不考虑每天，每月和每年为电网供电的能源的变化。这项研究解决了电网的动态性质，并使用高时间分辨率的电网数据说明了电力生产中的源变化。该研究将小时，每日和每月分辨率下的电网组成清单数据与ecoinvent数据库中的常规年度平均电网组成进行了比较。随后将高分辨率电网清单数据与具有匹配分辨率的建筑物的用电量数据集配对，以便量化因应用临时高分辨率电网数据而导致的建筑物在环境性能方面的差异。最后，将使用高分辨率网格计算的环境建筑性能（EBP）与根据常规数据分辨率生成的EBP进行比较。结果表明，对全球变暖潜力的贡献与网格组成的数据分辨率密切相关，并且与具有年度（即低）数据分辨率的常规网格清单数据相比，EBP可能被高估了两倍。 。

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